crcdng

NOTE this tutorial was written Dec 2020 and I don't use Leap on Mac since then. Use at your own risk. It still seems to work for some people, but I cannot support it further or answer questions unless I get a project with Leap / Mac again.

The Leap Motion Controller (https://www.ultraleap.com/product/leap-motion-controller/) has been a favourite input device for user interface designers and hackers alike. It allows to create touchless user interfaces that track hand movement and recognize gestures (not bad in the current situation).

Unfortunately the company who made it has decided to go big and bold on VR and Windows only and stopped supporting development on a Mac. There are still options available, for example getting the Leap Motion data via node.js. Yet Python can be the right choice, especially if you want to feed the data into a machine learning pipeline or use any of the numerous libraries that the Python ecosystem offers.

Getting this to work on macOS requires a few steps (tested on macOS 11

madelinegannon

Azure Kinect on Ubuntu 18.04

Notes on Installing Microsoft Azure Kinect Sensor and Body Tracking SDKs on Linux PC and NVIDIA Jetson Xavier NX

06.12.2020

Jump to:

• Installing Sensor SDK on Linux PC
• Installing on Jetson Xavier NX
• Installing Body Tracking SDK
• Updating Firmware for Azure Kinect

rlanyi

How to create Apple PKPass .p12 certificate using Linux

You don't need a Mac to do this :-)

For generating PKPass files, you'll need 4 things after this tutorial:

• Certificate Identifier (pass.com.example.www)
• Team Identified (Organizational Unit (OU) in the cert generated by Apple)
• The .p12 file
• The password for the .p12 file

jsigee87

#!/usr/bin/env bash

# Who am I
######################################################################
MYFILENAME="todo-linter.sh"

if [ $# -eq 0 ] || [ $# -gt 1 ];
then 
    echo "Usage:"
    echo "    bash ${MYFILENAME} [file or filepath]"

EnesKaraosman

#if canImport(UIKit)

import UIKit
extension UIColor {
    static var random: UIColor {
        return UIColor(
            red: .random(in: 0...1),
            green: .random(in: 0...1),
            blue: .random(in: 0...1)
        )

spencersalazar

/** Ease in/out function with settable power and midpoint.
 Use p parameter to adjust speed at endpoints (cubic: p=3, quartic: p=4)
 Midpoint is point at which speed is fastest and uneased. 
 
 @param t time or independent variable in range [0,1]. Input should be scaled to this range from whatever source range is expected. 
 @param p power, e.g. quadratic=2, cubic=3. Non-integral powers can be used to fine-tune the curve.
 @param mid midpoint of curve, where it is "most linear".
 
 @return output value in range [0,1]. Can be multiplied to scale to desired range. 

rolux

# git clone https://github.com/NVlabs/stylegan2
import os
import numpy as np
from scipy.interpolate import interp1d
from scipy.io import wavfile
import matplotlib.pyplot as plt
import PIL.Image
import moviepy.editor

import dnnlib

b3ll

//
//  WaveformView.swift
//  WaveformSwiftUI
//
//  Created by Adam Bell on 9/4/19.
//  Copyright © 2019 Adam Bell. All rights reserved.
//

import SwiftUI

erica

import PlaygroundSupport
import SwiftUI
extension UIView {
  var renderedImage: UIImage {
    let image = UIGraphicsImageRenderer(size: self.bounds.size).image { context in
      UIColor.lightGray.set(); UIRectFill(bounds)
      context.cgContext.setAlpha(0.75)
      self.layer.render(in: context.cgContext)
    }
    return image

madelinegannon

How to Set Up the NVIDIA Jetson Nano for openFrameworks

A Step-By-Step Guide from Unboxing to Creative Coding

Getting Started

1. Set up and Configure the Nano
2. Set up and Configure openFrameworks
   • Getting the Nightly Build
   • Editing MAKE files
   • Recompile with New Configs

• Finish openFrameworks Linux Setup